Efficient Energy Usage in Cluster Formation by Optimizing Multi Objective Parameters using Whale Swarm Optimization Algorithm in HWSN
Heterogeneous Wireless Sensor Network applications are growing fast in almost every network domain. The usage of network domain increases the energy utilization which is needed to maintain efficiently. Different strategies were introduced earlier to decrease energy usage and increases the life duration of network. So for increasing the life span of network, in our paper we designed an efficient energy usage cluster formation model (EECF) for Heterogeneous Wireless sensor network, which improves the cluster network. The cluster formation network contains multi objective parameters like distance, transmission load, energy consumption and transmission delays need to be optimized with an algorithm called Whale Swarm Multi-Objective Cluster Head Optimization (WSMOCH).The proposed algorithm solves by optimizing the multi-objective parameters for the energy efficient usage of cluster network. We compare our experimental study with Whale Swarm Algorithm with Iterative Counter (WSA-IC).